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Titlebook: Biomedical Image Registration; 8th International Wo Stefan Klein,Marius Staring,Stefan Sommer Conference proceedings 2018 Springer Nature S

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發(fā)表于 2025-3-21 19:16:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Biomedical Image Registration
期刊簡稱8th International Wo
影響因子2023Stefan Klein,Marius Staring,Stefan Sommer
視頻videohttp://file.papertrans.cn/189/188057/188057.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Biomedical Image Registration; 8th International Wo Stefan Klein,Marius Staring,Stefan Sommer Conference proceedings 2018 Springer Nature S
影響因子.This book constitutes the refereed proceedings of the 8th International Workshop on Biomedical Image Registration, WBIR 2018, held in Leiden, The Netherlands, in June 2018...The 11 full and? poster papers included in this volume were carefully reviewed and selected from 17 submitted papers. The papers are organized in the following topical sections: Sliding Motion, Groupwise Registration, Acceleration, and Applications and Evaluation..
Pindex Conference proceedings 2018
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書目名稱Biomedical Image Registration影響因子(影響力)




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發(fā)表于 2025-3-21 21:58:10 | 只看該作者
Statistical Motion Mask and Sliding Registrationt wall and organs within the pleural sac (lungs, mediastinum, liver). In this paper we propose a methodology that (1) segments one of the images to be registered (the source or floating/moving image) into two distinct regions by fitting a statistical motion mask, and (2) registers the image with a m
板凳
發(fā)表于 2025-3-22 01:33:01 | 只看該作者
Adaptive Graph Diffusion Regularisation for Discontinuity Preserving Image Registrationges based on respiration the registration of thoracic images is challenging. We present a novel regularisation method based on adaptive anisotropic graph diffusion. Without the need of a mask it preserves discontinuities of the transformation at sliding organ boundaries and enforces smoothness in ar
地板
發(fā)表于 2025-3-22 07:22:17 | 只看該作者
Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation diagnosis and treatment of cancer, for example of the lung. However, the acquisition of standard lung sequences is often compromised by irregular breathing motion artefacts, resulting in unsystematic errors when estimating tissue perfusion parameters. In this work, we illustrate implicit deformable
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Semi-automated Processing of Real-Time CMR Scans for Left Ventricle Segmentation is based on image registration, where the LV endocardium and epicardium are segmented by propagating a reference contour over all the frames of the RT-CMR SAX scans. Our method was evaluated on 19 subjects, the accuracy of the automatic LV endocardium and epicardium segmentation was compared to tho
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Evaluation of Multi-metric Registration for Online Adaptive Proton Therapy of Prostate Cancerapy mandates automatic delineation, as manual delineation is too time consuming while it should be fast and robust. In this study, we propose an accurate and robust automatic propagation of the delineations from the planning CT to the daily CT by means of Deformable Image Registration (DIR). The pro
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0302-9743 s. The papers are organized in the following topical sections: Sliding Motion, Groupwise Registration, Acceleration, and Applications and Evaluation..978-3-319-92257-7978-3-319-92258-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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